Evidence map›Paper›PMID 41550936›Full record

ArticleFrontiers in immunology2025

Pox-AbDab: the orthopoxvirus antibody database.

Henriette L Capel, Eric Ji Da Wang, Benjamin H Williams, Charlotte M Deane, Matthew I J Raybould

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Henriette L CapelOxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford, United Kingdom.
Eric Ji Da WangOxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford, United Kingdom.
Benjamin H WilliamsOxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford, United Kingdom.
Charlotte M DeaneOxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford, United Kingdom.
Matthew I J RaybouldOxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In August 2024, the World Health Organization declared the mpox orthopoxvirus to be a Public Health Emergency of International Concern for the second time in three years, emphasising the need for continued studies into its microbiology and potential therapeutic interventions. Here, we presented the Orthopoxvirus Antibody Database (Pox-AbDab), a repository of data on antibodies known to bind or neutralise viruses from the same genus as mpox (https://opig.stats.ox.ac.uk/webapps/poxabdab). Beyond standardising and centralising the data, we highlighted challenges in translating knowledge across orthopoxviruses, such as the absence of a function-based nomenclature for virion surface antigens. We also performed an exploratory analysis of the known orthopoxvirus-binding antibody landscape, highlighting their aggregate molecular properties, cross-binding/cross-neutralisation profiles, evidence for immunodominance or immune escape from their epitopes, and gaps in coverage to help orient future research. Systematic review: Code available at: https://opig.stats.ox.ac.uk/webapps/poxabdab.

Indexed as

Antibodies, ViralOrthopoxvirusPoxviridae InfectionsAnimalsAntibodies, NeutralizingAntigens, ViralEpitopesHumansAntibodies, NeutralizingAntibodies, ViralAntigens, ViralEpitopesantibodyantigenepitopesmpoxneutralisingsequencestructure

Identifiers

PMID41550936
PMCPMC12808477

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.